Data Engineer with six years of experience in analyzing large data sets and coming up with data-driven insights for early-stage technology companies.
Adept at receiving and monitoring data from multiple data streams, including SQL server, several services in Azure cloud, Databricks SAP ERP, SAP BIBO and Excel data sources. Bringing forth the ability to synthesize quantitative information and interact effectively with colleagues and clients. Proven track record of generating summary documents for senior management for monthly and quarterly audit and compliance reporting.
Profile
Background
Skills and certificates
Git, ETL, SQL, Python, Databricks
Microsoft Certified: Azure Data Fundamentals , Academy Accreditation - Databricks Lakehouse Fundamentals
Education
The education history is organized chronologically, starting with the most recent degree:
Master of Science (MSc) in Engineering Data Analytics
Institution: Universidad Nacional de Colombia, Medellín
Duration: June 2020 — December 2022
Details: The degree work contributed to a research group.
Major in Data Analytics
Institution: Universidad Nacional de Colombia, Medellín
Duration: June 2020 — April 2021
This is part of the MSc program, focusing specifically on Data Analytics.
Bachelor of Energy Engineering
Institution: Universidad de Medellín, Medellín
Duration: June 2014 — December 2019
This foundational degree laid the groundwork for a career in engineering, with a focus on energy systems.
This education history showcases a focused trajectory in engineering, culminating in advanced studies in data analytics within the engineering field.
Work History
This work history outlines a progressive career path in engineering, focusing on support engineering, data engineering, and senior data engineering roles, with experience in both the energy sector and data management for large-scale projects.
Support Engineer at MGM Innova Energy Services (Dec 2018 - Dec 2020): The role involved providing documentation support for project data management, creating a monitoring protocol for electrical equipment in a hotel in Panama City, maintaining critical equipment like air conditioners and boilers, and building a Google Data Studio dashboard for monitoring energy consumption.
Data Engineer at Cementos Argos S.A (Apr 2021 - Sep 2023): This position entailed developing a data quality framework, an ETL process for data cleaning and transformation, a big data processing pipeline that significantly improved processing time, a data visualization dashboard, and a metadata management system for enhanced data governance.
Provision of Services at Universidad de Antioquia (Jul 2021 - Apr 2022): Concurrent with the role at Cementos Argos S.A, this position supported a master's thesis in analytical engineering, involved in a research group conducting surveys for a cohort study in environmental epidemiology, designing a data warehouse, and supporting encryption of confidential information.
Senior Data Engineer at South32 (Sep 2023 - Present): Currently supporting data engineering pipelines using Kedro for Machine Learning projects, and monitoring and reviewing the catalog and databases in Databricks for Machine Learning projects.
This career trajectory showcases a strong foundation in support engineering with a transition to more specialized roles in data engineering, highlighting skills in documentation, maintenance, data quality, ETL processes, big data processing, data visualization, metadata management, and support for machine learning projects.